Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| GMM Арельяно-Бонда с изменяющимися во времени параметрами× | Разностный GMM (оценщик Аррелано× | |
|---|---|---|
| Область | Эконометрика | Эконометрика |
| Семейство | Regression model | Regression model |
| Год появления≠ | 1990s-2000s | 1991 |
| Автор метода≠ | Extension of Arellano & Bond (1991); TVP generalisation developed in panel econometrics literature | Manuel Arellano and Stephen Bond |
| Тип≠ | Dynamic panel GMM with time-varying coefficients | GMM panel estimator |
| Основополагающий источник≠ | Arellano, M., & Bond, S. (1991). Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations. The Review of Economic Studies, 58(2), 277-297. DOI ↗ | Arellano, M., & Bond, S. (1991). Some tests of specification for panel data: Monte Carlo evidence and an application to employment equations. Review of Economic Studies, 58(2), 277–297. DOI ↗ |
| Другие названия | TVP Arellano-Bond GMM, TVP-AB GMM, time-varying coefficient dynamic panel GMM, state-space Arellano-Bond estimator | Arellano-Bond estimator, AB-GMM, first-difference GMM, difference GMM estimator |
| Связанные≠ | 6 | 5 |
| Сводка≠ | The time-varying parameter Arellano-Bond GMM (TVP-AB GMM) is a dynamic panel estimator that extends the classic Arellano-Bond difference GMM framework by allowing regression coefficients to evolve over time. It addresses both individual fixed effects and the endogeneity of lagged dependent variables, while accommodating structural change and parameter instability across the sample period. | Difference GMM, introduced by Arellano and Bond (1991), estimates dynamic panel data models by first-differencing the equation to remove fixed effects, then using lagged levels of the endogenous variables as GMM instruments. It is the standard approach when a lagged dependent variable or other endogenous regressors are present in a panel with many units and few time periods. |
| ScholarGateНабор данных ↗ |
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